Category CoolTools
Today’s adventures in generative AI included using David Colarusso’s LIT Prompts Chrome extension connected to the OpenAI gpt-4o-mini API on Chapter 4 of Alice Ristroph’s Criminal Law: An Integrated Approach. I first requested a short 150 word summary of the… Continue Reading →
Using the latest version of LM-Studio I loaded up Mistral-Nemo-Instruct-2407-GGUF from Hugging Face and using the Quiz Creator prompt from Prompts for Instructors (modified to include law school as an option) I was able to generate the following quiz in… Continue Reading →
Drupal 11 development has reached a point where the system requirements are being raised in the development branch. To prepare core developers for this and to inform the community at large, we are announcing the following requirements for Drupal 11…. Continue Reading →
StarCoder2 is a family of code generation models (3B, 7B, and 15B), trained on 600+ programming languages from The Stack v2 and some natural language text such as Wikipedia, Arxiv, and GitHub issues. The models use Grouped Query Attention, a context window… Continue Reading →
Explore the evolution of content editing in Drupal with CKEditor 5, uncover key features, real-world applications, and future plans. Source: Drupal and CKEditor: a history of advanced content editing | CKEditor Read the original story
Starting today, the Drupal 11.x branch is used for building the next major Drupal version, Drupal 11. This means that major version specific changes can now happen on the Drupal 11.x branch. This includes dependency and requirements updates and removal… Continue Reading →
If your hard drive is running out of space, you can move your collection of PC games to a different drive. Here’s how to set up the move from your game client of choice. Source: Don’t Run Out of Space:… Continue Reading →
Scale your compute-intensive Python workloads. From reinforcement learning to large-scale model serving, Ray makes the power of distributed compute easy and accessible to every engineer. Source: Productionizing and scaling Python ML workloads simply | Ray Read the original story
Training neural networks with larger batches in PyTorch: gradient accumulation, gradient checkpointing, multi-GPUs and distributed setups… Source: Training Neural Nets on Larger Batches: Practical Tips for 1-GPU, Multi-GPU & Distributed setups | by Thomas Wolf | HuggingFace | Medium Read… Continue Reading →
In this example, we’ll imagine that our chatbot needs to answer questions about the content of a website. To do that, we’ll need a way to store and access that information when the chatbot generates its response. Source: Building a… Continue Reading →